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Krishna

Explore • 27d

10 Harsh Truths About Building an AI Startup in India 1. AI ≠ Product Building a model isn’t enough—solve a real problem. 2. Compute is Expensive GPUs are costly or unavailable. Cloud bills can burn lakhs. 3. Data is a Bottleneck Clean, domain-specific, and legal data is hard to get. 4. Talent is Scarce Skilled AI engineers are expensive and prefer global roles. 5. Investors Are Cautious They’ve seen the hype. Now they want traction and monetization. 6. Models Get Outdated Fast New OpenAI/Google releases can wipe out your edge overnight. 7. Legal Risk is Real India’s DPDP Act and global privacy laws must be respected. 8. Users Expect Free Magic High expectations, low willingness to pay—especially in B2C. 9. AI is Often Just a Feature Don’t build an “AI product.” Build a useful product with AI. 10. You Will Pivot Most first ideas fail. Be ready to change direction fast. If you're building in AI, focus on real use-cases, not hype. Build smarter.

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